This work examines environments of quasi-linear MCSs and finds variables that discriminate between mature and dissipating MCSs, and "slow" versus "fast" moving MCSs. It also describes the development of a forecasting tool based on logistic regression. This is currently in the review process at Weather and Forecasting.

This work examines the effects of changing
the criteria of identifying derechos on the interpretation of the underlying climatological distribution.Some color version of the figures can be
found at the climatological page.I have
compiled a large data set of derecho events compiled from the years of
1980-2001 (here's a list of the events).

This work examines The variability of large-scale
flow-patterns and physical forcing mechanisms associated with the initial to
early-mature stages of the systems and parameter distributions among a set of
observed proximity soundings and how these environments compare to conclusions
made from past, idealized numerical simulations of DCSs.

This paper summarizes the derecho research related to
my M.S. degree.
In a nutshell, I simulated a progressive derecho using the MM5
modeling system with an initial
condition derived from a composite analysis. I then compared the behavior of
the convective line to that of past idealized simulations that used similar
initial kinematic environments.

OTHER WORK:

Here's a presentation that
I gave at North
CarolinaStateUniversity in November of 2004 detailing derechos and the role
of environmental upper-level shear.

As a National Research Council Postdoctoral
Research Associate working with Dr. Harold Brooks at NSSL, I am currently
developing a data set of warm-season MCS events from the past seven years using
the 2-km and 4-km NEXRAD reflectivity composites.The focus will be on the discrimination of
Quasi-Stationary MCS (QSMCS) environments from fast-forward propagating MCS (FPMCS)
environments and on the probability distribution functions of environmental
parameters among the spectrum of MCS types.Given time, I plan on looking at the surface features of a handful of
QSMCS and FPMCS using the Oklahoma Mesonet data.Stay tuned for results!